Tang Yu, Cao Yanguang
Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Pharmaceutics. 2021 Mar 21;13(3):422. doi: 10.3390/pharmaceutics13030422.
With more than 90 approved drugs by 2020, therapeutic antibodies have played a central role in shifting the treatment landscape of many diseases, including autoimmune disorders and cancers. While showing many therapeutic advantages such as long half-life and highly selective actions, therapeutic antibodies still face many outstanding issues associated with their pharmacokinetics (PK) and pharmacodynamics (PD), including high variabilities, low tissue distributions, poorly-defined PK/PD characteristics for novel antibody formats, and high rates of treatment resistance. We have witnessed many successful cases applying PK/PD modeling to answer critical questions in therapeutic antibodies' development and regulations. These models have yielded substantial insights into antibody PK/PD properties. This review summarized the progress, challenges, and future directions in modeling antibody PK/PD and highlighted the potential of applying mechanistic models addressing the development questions.
到2020年已有90多种获批药物,治疗性抗体在改变包括自身免疫性疾病和癌症在内的多种疾病的治疗格局中发挥了核心作用。尽管治疗性抗体具有许多治疗优势,如半衰期长和作用高度选择性,但它们在药代动力学(PK)和药效动力学(PD)方面仍面临许多突出问题,包括高变异性、低组织分布、新型抗体形式的PK/PD特征不明确以及高治疗耐药率。我们见证了许多成功应用PK/PD建模来回答治疗性抗体开发和监管中关键问题的案例。这些模型对抗体的PK/PD特性有了深入了解。本综述总结了抗体PK/PD建模的进展、挑战和未来方向,并强调了应用机制模型解决开发问题的潜力。